A Crime by Any Other Name: Gender Differences in Moral Reasoning When Judging the Tax Evasion of Cryptocurrency Traders.

Tax evasion is a major issue for authorities worldwide. Understanding the factors that influence individuals' intrinsic motivation to pay taxes, known as their tax morale, is important for improving tax compliance. This study investigated gender differences in judging tax evasion in the context of cryptocurrency trading.

Accelerating UN Sustainable Development Goals with AI-Driven Technologies: A Systematic Literature Review of Women's Healthcare.

In this paper, we critically examine if the contributions of artificial intelligence (AI) in healthcare adequately represent the realm of women's healthcare. This would be relevant for achieving and accelerating the gender equality and health sustainability goals (SDGs) defined by the United Nations. Following a systematic literature review (SLR), we examine if AI applications in health and biomedicine adequately represent women's health in the larger scheme of healthcare provision.

The future of non-financial businesses reporting: Learning from the Covid-19 pandemic.

In this paper we conceptually identify the gap in the literature about lack of business's awareness in non -financial activities, especially biodiversity, which can be responsible for crisis like Covid-19 which can adversely affect the global economy. We recommend approaches to existing business about how to enhance the quality of reporting by considering non-human element in reporting and making it more comprehensive for the stakeholders. We adopt Actor Network Theory (ANT) and the Natural Inventory Model to support our argument that nature consists of both human and non-human.

Corporate Accountability Towards Species Extinction Protection: Insights from Ecologically Forward-Thinking Companies.

This paper contributes to biodiversity and species extinction literature by examining the relationship between corporate accountability in terms of species protection and factors affecting such accountability from forward-thinking companies. We use triangulation of theories, namely deep ecology, legitimacy, and we introduce a new perspective to the stakeholder theory that considers species as a 'stakeholder'. Using Poisson pseudo-maximum likelihood (PPML) regression, we examine a sample of 200 Fortune Global companies over 3 years.